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I have graduated from the Masters in Business Analytics at MIT having worked with
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<ahref="https://mitsloan.mit.edu/faculty/directory/alexandre-jacquillat" target="_blank" class="mit_sloan">Prof. Alexandre Jacquillat</a> on robust optimization methods for supply chain tasks. I have worked as a
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research assistant at <ahref="https://mila.quebec/en/" target="_blank" class="mila">Mila</a>, with
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<ahref="https://davidrolnick.com/" target="_blank" class="rolnick">Prof. David Rolnick</a>
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and <ahref="https://priyadonti.com/" target="_blank" class="donti">Priya Donti</a>.
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I am a Data Scientsit at <ahref="https://enodatech.com/" target="_blank" class="enoda">ENODA</a>.
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I have a Masters in Business Analytics at MIT, focusing on Machine Learning and Optimization where I also served as Class President.
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I have a BSc in Statistics and Computer Science from McGill, with research work at <ahref="https://mila.quebec/en/" target="_blank" class="mila">Mila</a>.
<listyle="margin-top: 1%;"> Created an open source Julia package, <ahref="https://github.com/invenia/LinearMixingModels.jl" target="_blank" class="lmms.jl">LinearMixingModels.jl</a>, that implements a specific class of multi-output Gaussian Process.</li>
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<listyle="margin-top: 1%;"> Engaged with the open source community to ensure contributions met community standards on top of fulfilling the needs of the company.</li>
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<liid="edu_p" style="margin-left: 3%;">Software Engineer Intern (May 2020 - Dec 2020)</li>
<listyle="margin-top: 1%;">Developed and analyzed the performance of cloud-computing infrastructure to enable better use of AWS tools</li>
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<listyle="margin-top: 1%;">Performed data analysis and built predictive models of various forms. Designed and developed a Julia package from scratch as well as the infrastructure necessary to implement these in production</li>
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<listyle="margin-top: 1%;">Participating in code review, paper readings and other team activities</li>
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